Data Scientist, Trust & Safety

• You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects• 4+ years experience in data analytics, strategy analytics or modeling role• Advanced skills with SQL are a must• Proficient in Python• Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)• Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc)• Experienced in working collaboratively across different teams and departments• Strong technical and business communication• This role may require on-call rotationsResponsibilities• These projects cover a wide-range of topics including fiat returns, identifying low quality and fraudulent users, and using on-chain information to support fraud detection• As a member of our Trust & Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business• You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams• You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization• Identify, monitor, and mitigate fraud activity• Develop and implement high precision fraud prevention controls• Process, clean, and visualize data from complex databases and create top-notch reporting solutions• Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team• Design experimentation frameworks such as decision trees and A/B test models, identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates• Design, build and enhance dimensional models for BI solutions• Perform root cause analysis and resolve production and data issues• Create test plans, test scripts, and perform data validation• Tune SQL queries, reports, and ETL pipelines• Build and maintain data dictionary and process documentation• Research new tools and technologies to improve existing processes• A discretionary annual bonus• Long-term incentive in the form of a new hire equity grant• 401K with company matching• Flexible time off• Salary Range:The base salary range for this role is between $120,000 - $168,000 in the State of New York, the State of California and the State of Washington• This range is not inclusive of our discretionary bonus or equity packageQualifications• You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects• 4+ years experience in data analytics, strategy analytics or modeling role• 4+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)• Advanced skills with SQL are a must• Proficient in Python• Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)• Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc)• Experienced in working collaboratively across different teams and departments• Strong technical and business communication• This role may require on-call rotationsResponsibilities• These projects cover a wide-range of topics including fiat returns, identifying low quality and fraudulent users, and using on-chain information to support fraud detection• As a member of our Trust & Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business• You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams• You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization• Identify, monitor, and mitigate fraud activity• Develop and implement high precision fraud prevention controls• Process, clean, and visualize data from complex databases and create top-notch reporting solutions• Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team• Design experimentation frameworks such as decision trees and A/B test models, identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates• Design, build and enhance dimensional models for BI solutions• Perform root cause analysis and resolve production and data issues• Create test plans, test scripts, and perform data validation• Tune SQL queries, reports, and ETL pipelines• Build and maintain data dictionary and process documentation• Research new tools and technologies to improve existing processesBenefits• Competitive starting salary• A discretionary annual bonus• Long-term incentive in the form of a new hire equity grant• Comprehensive health plans• 401K with company…